python: scikit-image数字图像处理
2014-06-07 18:28
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http://scikit-image.org/docs/dev/auto_examples/
General-purpose and introductory examples for the scikit.
Blob Detection
BRIEF binary descriptor
Canny edge detector
CENSURE feature detector
Circular
and Elliptical Hough Transforms
Contour finding
Convex Hull
Corner detection
Dense DAISY feature description
Denoising the picture of Lena
Edge operators
Entropy
Histogram Equalization
Gabor filter banks for texture classification
Gabors / Primary Visual Cortex “Simple Cells”
from Lena
GLCM Texture Features
Histogram of Oriented Gradients
Filling holes and finding peaks
Immunohistochemical staining colors
separation
Find the intersection of two segmentations
Label image regions
Local Binary Pattern for texture classification
Local Histogram Equalization
Local Otsu Threshold
Marching Cubes
Markers for watershed transform
Robust matching using RANSAC
Medial axis skeletonization
ORB feature detector and binary descriptor
Thresholding
Finding local maxima
Phase Unwrapping
Piecewise Affine Transformation
Approximate and subdivide polygons
Build image pyramids
Random walker segmentation
Mean filters
Robust line model estimation using RANSAC
Filtering regional maxima
Measure region properties
Deconvolution of Lena
Comparison of segmentation and superpixel algorithms
Shapes
Skeletonize
Structural similarity index
Template Matching
Adaptive Thresholding
Tinting gray-scale images
Block views on images/arrays
Watershed segmentation
General examples
General-purpose and introductory examples for the scikit.Blob Detection
BRIEF binary descriptor
Canny edge detector
CENSURE feature detector
Circular
and Elliptical Hough Transforms
Contour finding
Convex Hull
Corner detection
Dense DAISY feature description
Denoising the picture of Lena
Edge operators
Entropy
Histogram Equalization
Gabor filter banks for texture classification
Gabors / Primary Visual Cortex “Simple Cells”
from Lena
GLCM Texture Features
Histogram of Oriented Gradients
Filling holes and finding peaks
Immunohistochemical staining colors
separation
Find the intersection of two segmentations
Label image regions
Local Binary Pattern for texture classification
Local Histogram Equalization
Local Otsu Threshold
Marching Cubes
Markers for watershed transform
Robust matching using RANSAC
Medial axis skeletonization
ORB feature detector and binary descriptor
Thresholding
Finding local maxima
Phase Unwrapping
Piecewise Affine Transformation
Approximate and subdivide polygons
Build image pyramids
Random walker segmentation
Mean filters
Robust line model estimation using RANSAC
Filtering regional maxima
Measure region properties
Deconvolution of Lena
Comparison of segmentation and superpixel algorithms
Shapes
Skeletonize
Structural similarity index
Template Matching
Adaptive Thresholding
Tinting gray-scale images
Block views on images/arrays
Watershed segmentation
Longer examples and demonstrations
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